public class DisjointObjectPropertyAxiomLearner extends ObjectPropertyHierarchyAxiomLearner<org.semanticweb.owlapi.model.OWLDisjointObjectPropertiesAxiom>
| Constructor and Description |
|---|
DisjointObjectPropertyAxiomLearner(SparqlEndpointKS ks) |
| Modifier and Type | Method and Description |
|---|---|
AxiomScore |
computeScore(int candidatePopularity,
int popularity,
int overlap)
Compute the score of the axiom:
|
org.semanticweb.owlapi.model.OWLDisjointObjectPropertiesAxiom |
getAxiom(org.semanticweb.owlapi.model.OWLObjectProperty property,
org.semanticweb.owlapi.model.OWLObjectProperty otherProperty) |
getBeta, isBatchMode, isStrictMode, setBatchMode, setBeta, setEntityToDescribe, setStrictModesetPropertyToDescribe, setStrictOWLMode, setUsePrecisionOnlyaddFilterNamespace, explainScore, getAxiomType, getBestEvaluatedAxiom, getCurrentlyBestAxioms, getCurrentlyBestAxioms, getCurrentlyBestAxioms, getCurrentlyBestAxioms, getCurrentlyBestEvaluatedAxiom, getCurrentlyBestEvaluatedAxioms, getCurrentlyBestEvaluatedAxioms, getCurrentlyBestEvaluatedAxioms, getCurrentlyBestEvaluatedAxioms, getEntityToDescribe, getEvaluatedFramentSize, getLearningProblem, getMaxExecutionTimeInSeconds, getMaxFetchedRows, getNegativeExamples, getPositiveExamples, getReasoner, init, isReturnOnlyNewAxioms, isTimeout, isUseSampling, printSubset, setForceSPARQL_1_0_Mode, setKs, setLearningProblem, setMaxExecutionTimeInSeconds, setMaxFetchedRows, setProgressMonitor, setQueryExecutionFactory, setReasoner, setReturnOnlyNewAxioms, setUseSampling, start, wasTimeoutisInitializedpublic DisjointObjectPropertyAxiomLearner(SparqlEndpointKS ks)
public org.semanticweb.owlapi.model.OWLDisjointObjectPropertiesAxiom getAxiom(org.semanticweb.owlapi.model.OWLObjectProperty property, org.semanticweb.owlapi.model.OWLObjectProperty otherProperty)
getAxiom in class ObjectPropertyHierarchyAxiomLearner<org.semanticweb.owlapi.model.OWLDisjointObjectPropertiesAxiom>public AxiomScore computeScore(int candidatePopularity, int popularity, int overlap)
PropertyAxiomLearnercandidatePopularity - |A|popularity - |B|overlap - |A AND B|
DL-Learner is licenced under the terms of the GNU General Public License.
Copyright © 2007-2019 Jens Lehmann